1 citations · 1 across the 5 of their papers we have counts for
6 papers
Hierarchical Causal Structure Learning
Sjoerd Hermes, Joost van Heerwaarden, Fred van Eeuwijk +1
Traditional statistical approaches primarily model associations between variables, however many scientific and practical questions require causal methods instead. These methods typ…
A Statistical Interpretation of Multi-Item Rating and Recommendation Problems
Sjoerd Hermes
Ordinal user-provided ratings across multiple items are frequently encountered in both scientific and commercial applications. Whilst recommender systems are known to do well on th…
Multi-Attribute Preferences: A Transfer Learning Approach
Sjoerd Hermes, Joost van Heerwaarden, Pariya Behrouzi
We introduce a transfer-learning method based on the Bradley--Terry model for multi-attribute pairwise-comparison data. The aim is to estimate the log-worth parameters of one prima…
Joint Learning from Heterogeneous Rank Data
Sjoerd Hermes, Joost van Heerwaarden, Pariya Behrouzi
The statistical modelling of ranking data has a long history and encompasses various perspectives on how observed rankings arise. One of the most common models, the Plackett-Luce m…
A Spatial Autoregressive Graphical Model with Applications in Intercropping
Sjoerd Hermes, Joost van Heerwaarden, Pariya Behrouzi
Within the statistical literature, a significant gap exists in methods capable of modeling asymmetric multivariate spatial effects that elucidate the relationships underlying compl…
Copula Graphical Models for Heterogeneous Mixed Data
Sjoerd Hermes, Joost van Heerwaarden, Pariya Behrouzi
This article proposes a graphical model that handles mixed-type, multi-group data. The motivation for such a model originates from real-world observational data, which often contai…